Skip to main content

CuPy: A NumPy-compatible array library accelerated by CUDA

Project description

https://raw.githubusercontent.com/cupy/cupy/master/docs/image/cupy_logo_1000px.png

CuPy : NumPy & SciPy for GPU

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This is a CuPy wheel (precompiled binary) package for AMD ROCm 4.2. You need to install ROCm 4.2 to use these packages.

If you have another version of ROCm, or want to build from source, refer to the Installation Guide for instructions.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

cupy_rocm_4_2-9.2.0-cp39-cp39-manylinux1_x86_64.whl (34.3 MB view details)

Uploaded CPython 3.9

cupy_rocm_4_2-9.2.0-cp38-cp38-manylinux1_x86_64.whl (35.8 MB view details)

Uploaded CPython 3.8

cupy_rocm_4_2-9.2.0-cp37-cp37m-manylinux1_x86_64.whl (33.1 MB view details)

Uploaded CPython 3.7m

cupy_rocm_4_2-9.2.0-cp36-cp36m-manylinux1_x86_64.whl (33.1 MB view details)

Uploaded CPython 3.6m

File details

Details for the file cupy_rocm_4_2-9.2.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_2-9.2.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 34.3 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_2-9.2.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e72bced77be5ba7aaf1afa2795444b9f88b3bc1990d0e97292a3d6e5fbd7f8d3
MD5 e04a69745b4093c6a258f4d7fdab44bd
BLAKE2b-256 55c3646fc045bffbac7bb981dc5656ee2f6cdb4a0dceffb7e971ebaf064cf3f7

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_2-9.2.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_2-9.2.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 35.8 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_2-9.2.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 cdae818d469d08b4f9fc9971974f63325769bf7e642efca67b5ecaf26829de8f
MD5 4cf699be60e9a8239979fcbec10c4064
BLAKE2b-256 b94d968cff406ccecffa0a24dcfed22a584da77b8461e5423dfb20abcaffac13

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_2-9.2.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_2-9.2.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 33.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_2-9.2.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2e054f5f50f89c2b359ad66df6c9c49e6d9c256860be2673af493b967899d431
MD5 7164f9bad137ae702d60cf35474595ae
BLAKE2b-256 35502b4954e3c76b156be86fbefd474b3f755fa1ddbd70c3a594d670a7ee41e8

See more details on using hashes here.

File details

Details for the file cupy_rocm_4_2-9.2.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: cupy_rocm_4_2-9.2.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 33.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/57.0.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.9

File hashes

Hashes for cupy_rocm_4_2-9.2.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 981aee2d99afd9a4a0a805569efe70337471e62e2cef72506827b571b67c111e
MD5 7e631fc9dd176711f07ce7cbbbee223a
BLAKE2b-256 941ef828b472c9186e8a64bc612426e7f036464c109f7edd2cbde15283e9927c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page